Specialist - Data Engineer

Eaton
Pune
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 12-16 yearsEducation: bachelorsSkills: ["Ownership mindset","Communication","Collaboration","Technical leadership","Mentoring"]

Build governed Snowflake data products and AI-ready datasets for Commercial Operations by transforming fragmented sources into reliable, reusable data pipelines. Lead end-to-end data lifecycle work—ingestion, modeling, orchestration, quality, deployment automation, monitoring, and production support—while optimizing Snowflake and Azure workloads. Apply DevSecOps/DataOps practices, deliver curated datasets and visualizations, modernize legacy ETL, and mentor engineers in an Agile, business-partnered environment.

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Eaton
Eaton
1 week ago

Specialist - Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 day agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build governed Snowflake data products and AI-ready datasets for Commercial Operations by transforming fragmented sources into reliable, reusable data pipelines. Lead end-to-end data lifecycle work—ingestion, modeling, orchestration, quality, deployment automation, monitoring, and production support—while optimizing Snowflake and Azure workloads. Apply DevSecOps/DataOps practices, deliver curated datasets and visualizations, modernize legacy ETL, and mentor engineers in an Agile, business-partnered environment.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Turn fragmented source data into governed, reusable Snowflake data products and AI capabilities for Commercial Operations.
  • •Own end-to-end data lifecycle activities, including data acquisition, ingestion, transformation, orchestration, data quality, data modeling, deployment automation, monitoring, and continuous improvement.
  • •Engineer and optimize Snowflake and Azure data solutions for performance, high availability, role-based access, and cost-aware design.
  • •Embed data quality, observability, and production support into pipelines by analyzing root causes and implementing permanent fixes.
  • •Support modernization by improving legacy ETL patterns, reducing manual deployment steps, optimizing Snowflake workloads, and adopting scalable cloud data engineering practices.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • •12-16 years of experience in data engineering, data warehousing, and ELT/ETL development with enterprise-scale production pipelines.
  • •Strong SQL proficiency and expertise in data warehousing performance tuning, query optimization, indexing, partitioning, and production troubleshooting.
  • •Advanced programming ability in Python, Scala, SQL, and PL-SQL for building and supporting data pipelines with orchestration, quality, and observability.
  • •Experience with Snowflake and Azure data services, including Azure Data Factory and Azure Data Lake Storage, plus dimensional/modeling patterns and data quality instrumentation.
Experience:12-16 yearsData engineeringData warehousingCloud data platformsELT/ETLSnowflakeAzure
Education:Bachelor's in Computer Science, Information Technology, Engineering, or related discipline
Skills:Ownership mindsetCommunicationCollaborationTechnical leadershipMentoring
Tech Stack:SnowflakeAzureAzure Data FactoryAzure Data Lake StorageSQLPythonScalaPL-SQLPower BIGrafanaRSparkContainersObject storageETLELTControl-MDevSecOpsDataOpsData Vault

Company Brief

Eaton
Designs, manufactures, and distributes electrical components, power management systems, and industrial equipment for energy, aerospace, vehicle, and industrial markets worldwide, focusing on efficiency, safety, and sustainability.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dublin, Ireland
Founded: 1911
WebsiteLinkedIn